
MentalChat16K: Advancing Conversational Mental Health Support
A benchmark dataset for developing more effective AI mental health assistants
MentalChat16K combines synthetic counseling data with real-world transcripts from behavioral health interventions to create a comprehensive benchmark for mental health conversational AI.
- Covers diverse conditions including depression, anxiety, and grief
- Includes anonymized transcripts from palliative and hospice care settings
- Designed specifically to improve LLM capabilities in mental health assistance
- Enables better evaluation and development of AI-driven support tools
This research addresses critical gaps in mental health resources by providing a foundation for developing more empathetic, effective conversational AI systems that could expand access to mental health support when human providers are limited.
MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance